Pith Number
pith:UMFHH3D6
pith:2024:UMFHH3D6OB5Y52N6STDYCZBWCH
not attested
not anchored
not stored
refs pending
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning
arxiv:2402.07107 v3 · 2024-02-11 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UMFHH3D6OB5Y52N6STDYCZBWCH}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T08:27:03.502627Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a30a73ec7e707b8ee9be94c781643611cd69868eb7fa8be43526de538cf07d99
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UMFHH3D6OB5Y52N6STDYCZBWCH \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: a30a73ec7e707b8ee9be94c781643611cd69868eb7fa8be43526de538cf07d99
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ad430371eb9d4cdb454bbd8e53f19f2735a52ac1a4eba62bab12ff07d2f16ac",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-11T05:17:56Z",
"title_canon_sha256": "da953673511b123ccd2063ce4780aa7f9538f27b0d03c6abeda320efbf281858"
},
"schema_version": "1.0",
"source": {
"id": "2402.07107",
"kind": "arxiv",
"version": 3
}
}